Fuzzy neural network control for gravure printing


Ding, L., Bamforth, P., Jackson, M. and Parkin, R., 2004. Fuzzy neural network control for gravure printing. In: Control 2004, 2004-09-06 - 2004-09-09, Bath.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.


In this paper, a trained fuzzy neural network (FNN) control system for gravure printing is presented. Firstly, the gravure printing process and its problems that need to be solved are introduced. Then, a FNN controller is proposed, which integrates fuzzy IF-THEN rules into a neural network structure based on the characteristics of gravure printing. The gradient descent with momentum learning method is utilised to train the FNN. The learning ability and effectiveness of the proposed FNN control system is demonstrated with experimental data. Finally, conclusions are drawn and further research summarised.


Item Type Conference or Workshop Items (Paper)
CreatorsDing, L., Bamforth, P., Jackson, M. and Parkin, R.
DepartmentsFaculty of Engineering & Design > Mechanical Engineering
ID Code14939


Actions (login required)

View Item